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| New Method of R-Wave Detection by Continuous Wavelet Transform
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Full
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Source |
Signal Processing: An International Journal (SPIJ) |
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Table of Contents |
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Download
Complete Issue PDF(1.28MB) |
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Volume: 5 Issue: 4 |
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Pages: NULL |
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Publication
Date: September / October 2011 |
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ISSN
(Online): 1985-2339 |
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Pages |
165 - 173 |
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Author(s) |
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Published
Date |
05-10-2011 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Continuous Wavelet Transform, Electrocardiogram, Hard Thresholding, R-wave Detection |
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| This Manuscript is indexed in the following databases/websites:- |
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| 1. Scribd |
| 2. Directory of Open Access Journals (DOAJ) |
| 3. Google Scholar |
| 4. Docstoc |
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| In this paper we have employed a new method of R-peaks detection in electrocardiogram (ECG) signals. This method is based on the application of the discretised Continuous Wavelet Transform (CWT) used for the Bionic Wavelet Transform (BWT). The mother wavelet associated to this transform is the Morlet wavelet. For evaluating the proposed method, we have compared it to others methods that are based on Discrete Wavelet Transform (DWT). In this evaluation, the used ECG signals are taken from MIT-BIH database. The obtained results show that the proposed method outperforms some conventional techniques used in our evaluation. |
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http://www.physionet.org/physiobank/database/SVdb/.MIT-BIH
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Supraventricular Arrhythmia Database. Available from Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA02139, USA.
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| Talbi Mourad : Colleagues
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| Akram Aouinet : Colleagues
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| Lotfi Salhi : Colleagues
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| Cherif Adnane : Colleagues
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